#javascript #ansi #ansi_escape_codes #chalk #cli #color #commandline #console #javascript #strip_ansi #terminal #terminal_emulators
Chalk is a popular Node.js tool that lets you easily add colors and styles to text in the terminal, making your console output clearer and more attractive. It supports many colors, including 256 and truecolor (millions of colors), and allows you to combine and nest styles like bold, underline, and background colors. Chalk auto-detects if your terminal supports colors and works without adding dependencies or changing built-in string behavior. You can create custom themes and use template literals for dynamic, colorful logs. This helps you highlight important information in your terminal output, improving readability and debugging. Chalk is reliable, actively maintained, and widely used in many projects.
https://github.com/chalk/chalk
Chalk is a popular Node.js tool that lets you easily add colors and styles to text in the terminal, making your console output clearer and more attractive. It supports many colors, including 256 and truecolor (millions of colors), and allows you to combine and nest styles like bold, underline, and background colors. Chalk auto-detects if your terminal supports colors and works without adding dependencies or changing built-in string behavior. You can create custom themes and use template literals for dynamic, colorful logs. This helps you highlight important information in your terminal output, improving readability and debugging. Chalk is reliable, actively maintained, and widely used in many projects.
https://github.com/chalk/chalk
GitHub
GitHub - chalk/chalk: 🖍 Terminal string styling done right
🖍 Terminal string styling done right. Contribute to chalk/chalk development by creating an account on GitHub.
#javascript
Ripple is a new TypeScript UI framework that combines the best ideas from React, Solid, and Svelte to create a fast, reactive, and easy-to-use system for building web interfaces. It uses special `$`-prefixed variables for automatic reactive updates, supports clean reusable components with JSX-like syntax, and offers strong TypeScript integration with helpful VSCode tools. Ripple also includes reactive arrays, maps, and sets, making state management intuitive. Although still in early development and not ready for production, Ripple aims to improve developer experience and performance with fine-grain rendering and scoped CSS styling, helping you build modern web apps more efficiently.
https://github.com/trueadm/ripple
Ripple is a new TypeScript UI framework that combines the best ideas from React, Solid, and Svelte to create a fast, reactive, and easy-to-use system for building web interfaces. It uses special `$`-prefixed variables for automatic reactive updates, supports clean reusable components with JSX-like syntax, and offers strong TypeScript integration with helpful VSCode tools. Ripple also includes reactive arrays, maps, and sets, making state management intuitive. Although still in early development and not ready for production, Ripple aims to improve developer experience and performance with fine-grain rendering and scoped CSS styling, helping you build modern web apps more efficiently.
https://github.com/trueadm/ripple
GitHub
GitHub - Ripple-TS/ripple: the elegant TypeScript UI framework
the elegant TypeScript UI framework. Contribute to Ripple-TS/ripple development by creating an account on GitHub.
#typescript #design #docs #gatsby #handbook #posthog #tailwindcss
PostHog.com is the website and code repository for PostHog, an open-source product analytics platform that helps you track user behavior, test new features, and improve your product all in one place. You can run the website locally by installing Node and Yarn, cloning the repo, and starting the development server. The site includes product docs, blogs, tutorials, and tools like job listings and pricing calculators. This setup lets you customize and contribute to the site easily, making it useful if you want to understand or improve PostHog’s platform or help develop its content and features. It supports collaboration and learning for developers and product teams.
https://github.com/PostHog/posthog.com
PostHog.com is the website and code repository for PostHog, an open-source product analytics platform that helps you track user behavior, test new features, and improve your product all in one place. You can run the website locally by installing Node and Yarn, cloning the repo, and starting the development server. The site includes product docs, blogs, tutorials, and tools like job listings and pricing calculators. This setup lets you customize and contribute to the site easily, making it useful if you want to understand or improve PostHog’s platform or help develop its content and features. It supports collaboration and learning for developers and product teams.
https://github.com/PostHog/posthog.com
GitHub
GitHub - PostHog/posthog.com: Official docs, website, and handbook for PostHog.
Official docs, website, and handbook for PostHog. Contribute to PostHog/posthog.com development by creating an account on GitHub.
#typescript
Codebuff is an open-source AI coding assistant that helps you edit your entire codebase using simple natural language commands. It uses multiple specialized AI agents that work together to understand your project, plan changes, make precise edits, and review them for accuracy. This multi-agent system makes Codebuff more accurate and reliable than single-model tools, improving coding speed and reducing errors. You can install it easily via npm and start giving commands like "fix SQL injection" or "add rate limiting," and it will automatically find and update the right files while running tests to ensure nothing breaks. It also lets you create custom agents and integrate AI coding help directly into your projects, boosting productivity and simplifying complex coding tasks.
https://github.com/CodebuffAI/codebuff
Codebuff is an open-source AI coding assistant that helps you edit your entire codebase using simple natural language commands. It uses multiple specialized AI agents that work together to understand your project, plan changes, make precise edits, and review them for accuracy. This multi-agent system makes Codebuff more accurate and reliable than single-model tools, improving coding speed and reducing errors. You can install it easily via npm and start giving commands like "fix SQL injection" or "add rate limiting," and it will automatically find and update the right files while running tests to ensure nothing breaks. It also lets you create custom agents and integrate AI coding help directly into your projects, boosting productivity and simplifying complex coding tasks.
https://github.com/CodebuffAI/codebuff
GitHub
GitHub - CodebuffAI/codebuff: Generate code from the terminal!
Generate code from the terminal! Contribute to CodebuffAI/codebuff development by creating an account on GitHub.
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#python
ROMA is an open-source framework that helps you build smart multi-agent AI systems by breaking big, complex tasks into smaller parts that agents can work on at the same time. It uses a clear, step-by-step process where tasks are split, solved, and combined, making it easy to understand and fix problems. You can connect any AI model or tool, and it supports secure code execution and fast data access. This means you can create powerful, flexible AI agents for research, analysis, or other tasks, with full control and transparency over how they work, saving you time and effort in solving complex problems.
https://github.com/sentient-agi/ROMA
ROMA is an open-source framework that helps you build smart multi-agent AI systems by breaking big, complex tasks into smaller parts that agents can work on at the same time. It uses a clear, step-by-step process where tasks are split, solved, and combined, making it easy to understand and fix problems. You can connect any AI model or tool, and it supports secure code execution and fast data access. This means you can create powerful, flexible AI agents for research, analysis, or other tasks, with full control and transparency over how they work, saving you time and effort in solving complex problems.
https://github.com/sentient-agi/ROMA
GitHub
GitHub - sentient-agi/ROMA: Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent…
Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent systems. - sentient-agi/ROMA
#java #android #dalvik #kotlin #patches #revanced #reverse_engineering
ReVanced Patches let you customize Android apps by adding new features, blocking ads, changing how apps look, and more. You can remove annoying ads, personalize app themes, enable background playback, and unlock extra controls. Using tools like ReVanced Manager, you can easily apply these patches without technical hassle. This means you get a cleaner, more enjoyable app experience, especially for apps like YouTube, without paying for premium versions. It also supports ongoing updates and a community that keeps improving it, so your apps stay fresh and tailored to your needs.
https://github.com/ReVanced/revanced-patches
ReVanced Patches let you customize Android apps by adding new features, blocking ads, changing how apps look, and more. You can remove annoying ads, personalize app themes, enable background playback, and unlock extra controls. Using tools like ReVanced Manager, you can easily apply these patches without technical hassle. This means you get a cleaner, more enjoyable app experience, especially for apps like YouTube, without paying for premium versions. It also supports ongoing updates and a community that keeps improving it, so your apps stay fresh and tailored to your needs.
https://github.com/ReVanced/revanced-patches
GitHub
GitHub - ReVanced/revanced-patches: 🧩 Patches for ReVanced
🧩 Patches for ReVanced. Contribute to ReVanced/revanced-patches development by creating an account on GitHub.
#python #large_language_models #machine_learning_systems #natural_language_processing
Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable.
https://github.com/fla-org/flash-linear-attention
Flash Linear Attention (FLA) is a fast, memory-efficient library for advanced linear attention models used in transformers, written in PyTorch and Triton, and compatible with NVIDIA, AMD, and Intel GPUs. It offers many state-of-the-art linear attention models and fused modules that speed up training and reduce memory use. You can easily replace standard attention layers in your models with FLA’s efficient versions, improving training and inference speed, especially for long sequences. FLA supports hybrid models mixing linear and standard attention, and integrates with Hugging Face Transformers for easy use and evaluation. This helps you train and run large language models faster and with less memory, making your AI projects more efficient and scalable.
https://github.com/fla-org/flash-linear-attention
GitHub
GitHub - fla-org/flash-linear-attention: 🚀 Efficient implementations of state-of-the-art linear attention models
🚀 Efficient implementations of state-of-the-art linear attention models - fla-org/flash-linear-attention
#python #agents #ai #llm #mcp
You can access a large collection of ready-to-use AI agent projects and tutorials that help you build smart applications like chatbots, research assistants, and automation tools using popular AI frameworks such as LangChain, OpenAI Agents SDK, and Agno. This collection includes simple starter agents, advanced multi-agent workflows, and tools with memory and document understanding. It also offers step-by-step setup instructions and video tutorials to help you learn quickly. Using these resources saves you time and effort in creating powerful AI apps, making it easier to develop, test, and deploy AI solutions even if you are new to AI programming.
https://github.com/Arindam200/awesome-ai-apps
You can access a large collection of ready-to-use AI agent projects and tutorials that help you build smart applications like chatbots, research assistants, and automation tools using popular AI frameworks such as LangChain, OpenAI Agents SDK, and Agno. This collection includes simple starter agents, advanced multi-agent workflows, and tools with memory and document understanding. It also offers step-by-step setup instructions and video tutorials to help you learn quickly. Using these resources saves you time and effort in creating powerful AI apps, making it easier to develop, test, and deploy AI solutions even if you are new to AI programming.
https://github.com/Arindam200/awesome-ai-apps
GitHub
GitHub - Arindam200/awesome-ai-apps: A collection of projects showcasing RAG, agents, workflows, and other AI use cases
A collection of projects showcasing RAG, agents, workflows, and other AI use cases - Arindam200/awesome-ai-apps
#python #llms #mlx
MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed.
https://github.com/ml-explore/mlx-lm
MLX LM is a Python tool that helps you run and fine-tune large language models (LLMs) efficiently on Apple Silicon Macs. It connects easily to thousands of models on Hugging Face, supports model quantization to save memory, and allows distributed training. You can generate text or chat with models via simple commands or Python code. It also offers features like prompt caching and memory optimization for handling long texts, making it faster and less resource-heavy. This means you can run powerful AI models locally on your Mac without needing expensive cloud services, saving cost and improving speed.
https://github.com/ml-explore/mlx-lm
GitHub
GitHub - ml-explore/mlx-lm: Run LLMs with MLX
Run LLMs with MLX. Contribute to ml-explore/mlx-lm development by creating an account on GitHub.
#go
The Docker MCP Gateway helps you run and manage AI tools called MCP servers securely and easily using Docker containers. It acts as a single, safe gateway that connects AI applications to many MCP servers, handling authentication, secrets, and OAuth securely without exposing sensitive data. You can start, configure, and monitor these servers with simple commands, ensuring isolation and control. This setup lets you develop, test, and deploy AI tools faster while keeping your environment secure and consistent across different clients. It also supports automatic discovery of tools and detailed logging for better oversight. This benefits you by simplifying AI tool management and improving security in your projects.
https://github.com/docker/mcp-gateway
The Docker MCP Gateway helps you run and manage AI tools called MCP servers securely and easily using Docker containers. It acts as a single, safe gateway that connects AI applications to many MCP servers, handling authentication, secrets, and OAuth securely without exposing sensitive data. You can start, configure, and monitor these servers with simple commands, ensuring isolation and control. This setup lets you develop, test, and deploy AI tools faster while keeping your environment secure and consistent across different clients. It also supports automatic discovery of tools and detailed logging for better oversight. This benefits you by simplifying AI tool management and improving security in your projects.
https://github.com/docker/mcp-gateway
GitHub
GitHub - docker/mcp-gateway: docker mcp CLI plugin / MCP Gateway
docker mcp CLI plugin / MCP Gateway. Contribute to docker/mcp-gateway development by creating an account on GitHub.
#javascript #gaia #general_purpose #multiagent_systems #multimodel
DeepResearchAgent is a smart system that uses a top-level planner to break down big tasks into smaller parts and assigns them to specialized agents like analyzers, researchers, and browser tools. It can deeply analyze data, do thorough research, and automatically gather up-to-date information from the web. It supports many AI models and tools, including image and video generation, and runs tasks efficiently with asynchronous operations. This system helps you get detailed, well-organized research results faster and with less effort by automating complex, multi-step tasks and combining many AI capabilities in one framework.
https://github.com/SkyworkAI/DeepResearchAgent
DeepResearchAgent is a smart system that uses a top-level planner to break down big tasks into smaller parts and assigns them to specialized agents like analyzers, researchers, and browser tools. It can deeply analyze data, do thorough research, and automatically gather up-to-date information from the web. It supports many AI models and tools, including image and video generation, and runs tasks efficiently with asynchronous operations. This system helps you get detailed, well-organized research results faster and with less effort by automating complex, multi-step tasks and combining many AI capabilities in one framework.
https://github.com/SkyworkAI/DeepResearchAgent
GitHub
GitHub - SkyworkAI/DeepResearchAgent: DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research…
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coo...
#cplusplus
This project helps you fix batteries that get locked by their Battery Management System (BMS) when it detects a fault, which sometimes happens by mistake or after the problem is fixed. Instead of throwing away a good battery, you can use open-source tools to reset the lock and save money. You set up an Arduino device and software on your computer (either a simple Windows program or Python-based) to communicate with the battery and unlock it. This way, you can repair and reuse batteries that would otherwise be wasted, reducing costs and environmental impact.
https://github.com/mnh-jansson/open-battery-information
This project helps you fix batteries that get locked by their Battery Management System (BMS) when it detects a fault, which sometimes happens by mistake or after the problem is fixed. Instead of throwing away a good battery, you can use open-source tools to reset the lock and save money. You set up an Arduino device and software on your computer (either a simple Windows program or Python-based) to communicate with the battery and unlock it. This way, you can repair and reuse batteries that would otherwise be wasted, reducing costs and environmental impact.
https://github.com/mnh-jansson/open-battery-information
GitHub
GitHub - mnh-jansson/open-battery-information
Contribute to mnh-jansson/open-battery-information development by creating an account on GitHub.
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#rust #gaussian_splatting #graphics #reconstruction
Brush is a powerful 3D reconstruction tool that uses Gaussian splatting to create high-quality 3D scenes. It works on many devices and systems, including macOS, Windows, Linux, Android, and even in web browsers like Chrome, without needing complex setups or heavy dependencies. You can train models interactively with your own images, view 3D scenes, and use it via a simple command-line interface. This makes it easy to create, explore, and share 3D content quickly and on almost any device, benefiting users by providing accessible, fast, and flexible 3D reconstruction technology for developers, artists, and researchers.
https://github.com/ArthurBrussee/brush
Brush is a powerful 3D reconstruction tool that uses Gaussian splatting to create high-quality 3D scenes. It works on many devices and systems, including macOS, Windows, Linux, Android, and even in web browsers like Chrome, without needing complex setups or heavy dependencies. You can train models interactively with your own images, view 3D scenes, and use it via a simple command-line interface. This makes it easy to create, explore, and share 3D content quickly and on almost any device, benefiting users by providing accessible, fast, and flexible 3D reconstruction technology for developers, artists, and researchers.
https://github.com/ArthurBrussee/brush
GitHub
GitHub - ArthurBrussee/brush: 3D Reconstruction for all
3D Reconstruction for all. Contribute to ArthurBrussee/brush development by creating an account on GitHub.
#cplusplus
Monad is a fast, scalable Layer 1 blockchain fully compatible with Ethereum's EVM, allowing you to run Ethereum smart contracts without changes. It improves speed by separating consensus (agreement on transaction order) from execution (processing transactions), enabling parallel transaction execution and reaching 10,000 transactions per second with 1-second finality. Monad uses a custom EVM and a special database (MonadDb) optimized for parallel state access, reducing delays. This means you get much faster, cheaper transactions while keeping Ethereum compatibility, making it easier for developers and users to adopt and benefit from high performance and scalability.
https://github.com/category-labs/monad
Monad is a fast, scalable Layer 1 blockchain fully compatible with Ethereum's EVM, allowing you to run Ethereum smart contracts without changes. It improves speed by separating consensus (agreement on transaction order) from execution (processing transactions), enabling parallel transaction execution and reaching 10,000 transactions per second with 1-second finality. Monad uses a custom EVM and a special database (MonadDb) optimized for parallel state access, reducing delays. This means you get much faster, cheaper transactions while keeping Ethereum compatibility, making it easier for developers and users to adopt and benefit from high performance and scalability.
https://github.com/category-labs/monad
GitHub
GitHub - category-labs/monad
Contribute to category-labs/monad development by creating an account on GitHub.
#rust
MonadBFT is a fast and secure blockchain consensus protocol that helps many independent nodes agree on the order of transactions quickly and reliably. It separates the process of agreeing on transaction order (consensus) from actually executing those transactions, which speeds up the system and allows for high throughput with 1-second finality. This design prevents problems like chain reorganizations (tail-forks) and censorship by any single validator, making the blockchain fairer, more stable, and efficient. For users, this means faster transaction confirmations, fewer unexpected changes, and a more trustworthy network without sacrificing decentralization or security.
https://github.com/category-labs/monad-bft
MonadBFT is a fast and secure blockchain consensus protocol that helps many independent nodes agree on the order of transactions quickly and reliably. It separates the process of agreeing on transaction order (consensus) from actually executing those transactions, which speeds up the system and allows for high throughput with 1-second finality. This design prevents problems like chain reorganizations (tail-forks) and censorship by any single validator, making the blockchain fairer, more stable, and efficient. For users, this means faster transaction confirmations, fewer unexpected changes, and a more trustworthy network without sacrificing decentralization or security.
https://github.com/category-labs/monad-bft
GitHub
GitHub - category-labs/monad-bft
Contribute to category-labs/monad-bft development by creating an account on GitHub.
#swift #macos #macos_app #menu_bar #menubar #menubar_app #status_bar #statusbar #swift #swiftui #utility
Ice is a free, easy-to-use tool for macOS 14 and later that helps you hide and organize menu bar items to keep your screen clean and tidy. You can hide icons and reveal them by clicking, hovering, or scrolling, and it automatically hides them again to reduce clutter. It also lets you drag and drop items to arrange them, customize the menu bar’s look with colors and shapes, and use hotkeys to quickly show or hide sections. Ice launches at login and updates automatically, making your Mac’s menu bar simpler and more efficient without much setup time. This improves your workflow by reducing distractions and giving you quick access to the icons you need.
https://github.com/jordanbaird/Ice
Ice is a free, easy-to-use tool for macOS 14 and later that helps you hide and organize menu bar items to keep your screen clean and tidy. You can hide icons and reveal them by clicking, hovering, or scrolling, and it automatically hides them again to reduce clutter. It also lets you drag and drop items to arrange them, customize the menu bar’s look with colors and shapes, and use hotkeys to quickly show or hide sections. Ice launches at login and updates automatically, making your Mac’s menu bar simpler and more efficient without much setup time. This improves your workflow by reducing distractions and giving you quick access to the icons you need.
https://github.com/jordanbaird/Ice
GitHub
GitHub - jordanbaird/Ice: Powerful menu bar manager for macOS
Powerful menu bar manager for macOS. Contribute to jordanbaird/Ice development by creating an account on GitHub.
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#python
TimesFM is a powerful time-series forecasting model from Google Research, pretrained on 100 billion real-world data points, making it highly accurate even without retraining on new data. The latest version, TimesFM 2.5, is smaller (200M parameters) but supports longer input sequences and advanced forecasting features like continuous quantile forecasts. It can handle multiple time series and external factors, improving prediction quality for tasks like demand planning or weather forecasting. You can easily install and use it with Python, benefiting from fast, reliable forecasts across many applications without needing extensive model training. This saves time and effort while providing strong results.
https://github.com/google-research/timesfm
TimesFM is a powerful time-series forecasting model from Google Research, pretrained on 100 billion real-world data points, making it highly accurate even without retraining on new data. The latest version, TimesFM 2.5, is smaller (200M parameters) but supports longer input sequences and advanced forecasting features like continuous quantile forecasts. It can handle multiple time series and external factors, improving prediction quality for tasks like demand planning or weather forecasting. You can easily install and use it with Python, benefiting from fast, reliable forecasts across many applications without needing extensive model training. This saves time and effort while providing strong results.
https://github.com/google-research/timesfm
GitHub
GitHub - google-research/timesfm: TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed…
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. - google-research/timesfm
#typescript #agent #ai #ai_agents #ai_tools #automation #browser #browser_automation #browser_use #chrome_extension #comet #dia #extension #manus #mariner #multi_agent #n8n #nano #opensource #playwright #web_automation
Nanobrowser is a free, open-source Chrome extension that uses multiple AI agents to automate complex web tasks directly in your browser, keeping your data private since everything runs locally. It supports many AI language models, lets you customize which models handle different tasks, and offers an easy chat interface to control and track automation. You can automate repetitive tasks, ask follow-up questions, and review past interactions without coding. It works best on Chrome and Edge and is a cost-effective alternative to expensive AI automation tools, giving you powerful, flexible web automation with full control and privacy.
https://github.com/nanobrowser/nanobrowser
Nanobrowser is a free, open-source Chrome extension that uses multiple AI agents to automate complex web tasks directly in your browser, keeping your data private since everything runs locally. It supports many AI language models, lets you customize which models handle different tasks, and offers an easy chat interface to control and track automation. You can automate repetitive tasks, ask follow-up questions, and review past interactions without coding. It works best on Chrome and Edge and is a cost-effective alternative to expensive AI automation tools, giving you powerful, flexible web automation with full control and privacy.
https://github.com/nanobrowser/nanobrowser
GitHub
GitHub - nanobrowser/nanobrowser: Open-Source Chrome extension for AI-powered web automation. Run multi-agent workflows using your…
Open-Source Chrome extension for AI-powered web automation. Run multi-agent workflows using your own LLM API key. Alternative to OpenAI Operator. - nanobrowser/nanobrowser
#javascript
You can find a complete collection of recipes from the restaurant 老乡鸡 (Lao Xiang Ji) in this project, which includes detailed cooking instructions and some AI-generated images, with a web version available for easy access. This resource is not official but is based on a thorough report of their dishes, allowing you to cook like they do at home. You can also contribute your own photos to improve the collection. This helps you learn authentic recipes and cooking methods from 老乡鸡, making it easier to recreate their popular dishes yourself. The project is open for suggestions and updates, ensuring it stays useful and accurate.
https://github.com/Gar-b-age/CookLikeHOC
You can find a complete collection of recipes from the restaurant 老乡鸡 (Lao Xiang Ji) in this project, which includes detailed cooking instructions and some AI-generated images, with a web version available for easy access. This resource is not official but is based on a thorough report of their dishes, allowing you to cook like they do at home. You can also contribute your own photos to improve the collection. This helps you learn authentic recipes and cooking methods from 老乡鸡, making it easier to recreate their popular dishes yourself. The project is open for suggestions and updates, ensuring it stays useful and accurate.
https://github.com/Gar-b-age/CookLikeHOC
GitHub
GitHub - Gar-b-age/CookLikeHOC: 🥢像老乡鸡🐔那样做饭。主要部分于2024年完工,非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》,并做归纳、编辑与整理。CookLikeHOC.
🥢像老乡鸡🐔那样做饭。主要部分于2024年完工,非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》,并做归纳、编辑与整理。CookLikeHOC. - Gar-b-age/CookLikeHOC
#shell
Omarchy lets you quickly turn a fresh Arch Linux install into a fully set-up, modern web development system with just one command. It uses Hyprland for a beautiful desktop and includes all essential tools pre-configured, so you don’t have to spend time writing custom settings or hunting for the latest command-line tools. This saves you hours of setup and gives you a ready-to-use, efficient Linux environment ideal for development. It also supports disk encryption and uses modern defaults like the btrfs file system, making your system secure and reliable from the start.
https://github.com/basecamp/omarchy
Omarchy lets you quickly turn a fresh Arch Linux install into a fully set-up, modern web development system with just one command. It uses Hyprland for a beautiful desktop and includes all essential tools pre-configured, so you don’t have to spend time writing custom settings or hunting for the latest command-line tools. This saves you hours of setup and gives you a ready-to-use, efficient Linux environment ideal for development. It also supports disk encryption and uses modern defaults like the btrfs file system, making your system secure and reliable from the start.
https://github.com/basecamp/omarchy
GitHub
GitHub - basecamp/omarchy: Beautiful, Modern & Opinionated Linux
Beautiful, Modern & Opinionated Linux. Contribute to basecamp/omarchy development by creating an account on GitHub.
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